This paper is published in Volume-7, Issue-3, 2021
Area
Machine Learning
Author
Pranali Gabale, Shalaka Javheri, Shital Mule, Priti Shete
Org/Univ
JSPM's Rajarshi Shahu College of Engineering, Pune, Maharashtra, India
Pub. Date
15 June, 2021
Paper ID
V7I3-1867
Publisher
Keywords
Raspberry Pi, GPS Module, Object detection, YOLO, Tensor flow

Citationsacebook

IEEE
Pranali Gabale, Shalaka Javheri, Shital Mule, Priti Shete. Intelligent assistance and object detection for visually impaired people, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Pranali Gabale, Shalaka Javheri, Shital Mule, Priti Shete (2021). Intelligent assistance and object detection for visually impaired people. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Pranali Gabale, Shalaka Javheri, Shital Mule, Priti Shete. "Intelligent assistance and object detection for visually impaired people." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

This paper is intended to design a smart cane that helps visually-impaired people to walk more confidently. The study hypothesizes that a smart cane that alerts visually-impaired people about obstacles in front. The system is intended to provide artificial vision and object detection, real time assistance via GPS by making use of Raspberry Pi. The system consists of GPS module, and the feedback is received through audio, voice output works through TTS (text to speech). The proposed system detects an object around them and sends feedback in the form of speech and also provides navigation to specific location through GPS. Smart Stick is a device designed to aid the visually impaired person by detecting objects and portray the information to them in the form of speech. This reduces the human effort and gives better understanding of the surrounding. Furthermore it also provides an opportunity for visually impaired people to move from one place to another without being assisted by others. The device can also be used in old age homes where old age people have difficulty in their day to day activities due to decreased vision. The main focus here is to aid people in need to “see” the surroundings. Considering the growth in the field of artificial intelligence and features like object detection is getting easier and computationally feasible, these features are implemented in the proposed system. The main focus is on object detection and classification on pictures which are captured by the device mounted on a stick. This interpreted information can then be relayed to the user in means of sound or speech.